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Found 36 publication records. Showing 36 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Carole H. Sudre, Christian F. Baumgartner, Adrian V. Dalca, Raghav Mehta, Chen Qin, William M. Wells (eds.) |
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings  |
UNSURE@MICCAI  |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Ben Philps, Maria del C. Valdés Hernández, Miguel Bernabeu Llinares |
Proper Scoring Loss Functions Are Simple and Effective for Uncertainty Quantification of White Matter Hyperintensities. |
UNSURE@MICCAI |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Parinaz Roshanzamir, Hassan Rivaz, Joshua Ahn, Hamza Mirza, Neda Naghdi, Meagan Anstruther, Michele C. Battié, Maryse Fortin, Yiming Xiao |
How Inter-rater Variability Relates to Aleatoric and Epistemic Uncertainty: A Case Study with Deep Learning-Based Paraspinal Muscle Segmentation. |
UNSURE@MICCAI |
2023 |
DBLP DOI BibTeX RDF |
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| 1 | Lawrence Schobs, Thomas M. McDonald 0001, Haiping Lu |
Bayesian Uncertainty Estimation in Landmark Localization Using Convolutional Gaussian Processes. |
UNSURE@MICCAI |
2023 |
DBLP DOI BibTeX RDF |
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| 1 | Shishuai Wang, Johan Nuyts, Marina Filipovic |
Uncertainty Estimation in Liver Tumor Segmentation Using the Posterior Bootstrap. |
UNSURE@MICCAI |
2023 |
DBLP DOI BibTeX RDF |
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| 1 | McKell Woodland, Nihil Patel, Mais Al Taie, Joshua P. Yung, Tucker J. Netherton, Ankit B. Patel, Kristy K. Brock |
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation. |
UNSURE@MICCAI |
2023 |
DBLP DOI BibTeX RDF |
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| 1 | Bogdan Bercean, Alexandru Buburuzan, Andreea Birhala, Cristian Avramescu, Andrei Tenescu, Marius Marcu |
Breaking Down Covariate Shift on Pneumothorax Chest X-Ray Classification. |
UNSURE@MICCAI |
2023 |
DBLP DOI BibTeX RDF |
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| 1 | Johanna P. Müller, Matthew Baugh, Jeremy Tan, Mischa Dombrowski, Bernhard Kainz |
Confidence-Aware and Self-supervised Image Anomaly Localisation. |
UNSURE@MICCAI |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Leonhard F. Feiner, Martin J. Menten, Kerstin Hammernik, Paul Hager, Wenqi Huang, Daniel Rueckert, Rickmer F. Braren, Georgios Kaissis |
Propagation and Attribution of Uncertainty in Medical Imaging Pipelines. |
UNSURE@MICCAI |
2023 |
DBLP DOI BibTeX RDF |
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| 1 | Jacob J. Peoples, Mohammad Hamghalam, Imani James, Maida Wasim, Natalie Gangai, HyunSeon Christine Kang, Xiujiang John Rong, Yun Shin Chun, Richard K. G. Do, Amber L. Simpson |
Examining the Effects of Slice Thickness on the Reproducibility of CT Radiomics for Patients with Colorectal Liver Metastases. |
UNSURE@MICCAI |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Jadie Adams, Shireen Y. Elhabian |
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation. |
UNSURE@MICCAI |
2023 |
DBLP DOI BibTeX RDF |
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| 1 | Inés Gonzalez Pepe, Vinuyan Sivakolunthu, Hae Lang Park, Yohan Chatelain, Tristan Glatard |
Numerical Uncertainty of Convolutional Neural Networks Inference for Structural Brain MRI Analysis. |
UNSURE@MICCAI |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Hendrik Alexander Mehrtens, Tabea-Clara Bucher, Titus J. Brinker |
Pitfalls of Conformal Predictions for Medical Image Classification. |
UNSURE@MICCAI |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Daria Frolova, Aleksandr Katrutsa, Ivan V. Oseledets |
Feature-Based Pipeline for Improving Unsupervised Anomaly Segmentation on Medical Images. |
UNSURE@MICCAI |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Anton Vasiliuk, Daria Frolova, Mikhail Belyaev, Boris Shirokikh |
Redesigning Out-of-Distribution Detection on 3D Medical Images. |
UNSURE@MICCAI |
2023 |
DBLP DOI BibTeX RDF |
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| 1 | Mobarakol Islam, Zeju Li, Ben Glocker |
Robustness Stress Testing in Medical Image Classification. |
UNSURE@MICCAI |
2023 |
DBLP DOI BibTeX RDF |
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| 1 | Harry Anthony, Konstantinos Kamnitsas |
On the Use of Mahalanobis Distance for Out-of-distribution Detection with Neural Networks for Medical Imaging. |
UNSURE@MICCAI |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat |
TriadNet: Sampling-Free Predictive Intervals for Lesional Volume in 3D Brain MR Images. |
UNSURE@MICCAI |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Paul Fischer, Thomas Küstner, Christian F. Baumgartner |
Uncertainty Estimation and Propagation in Accelerated MRI Reconstruction. |
UNSURE@MICCAI |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Yizhe Zhang 0001, Shuo Wang, Yejia Zhang, Danny Z. Chen |
RR-CP: Reliable-Region-Based Conformal Prediction for Trustworthy Medical Image Classification. |
UNSURE@MICCAI |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Elina Thibeau-Sutre, Dieuwertje Alblas, Sophie Buurman, Christoph Brune, Jelmer M. Wolterink |
Uncertainty-Based Quality Assurance of Carotid Artery Wall Segmentation in Black-Blood MRI. |
UNSURE@MICCAI |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat |
Multi-layer Aggregation as a Key to Feature-Based OOD Detection. |
UNSURE@MICCAI |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Cheng Ouyang, Shuo Wang 0011, Chen Chen 0042, Zeju Li, Wenjia Bai, Bernhard Kainz, Daniel Rueckert |
Improved Post-hoc Probability Calibration for Out-of-Domain MRI Segmentation. |
UNSURE@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Luke Whitbread, Mark Jenkinson |
Uncertainty Categories in Medical Image Segmentation: A Study of Source-Related Diversity. |
UNSURE@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Gangin Park, Chunsan Hong, Bohyung Kim, Won Hwa Kim |
What Do Untargeted Adversarial Examples Reveal in Medical Image Segmentation? |
UNSURE@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Ishaan Bhat, Josien P. W. Pluim, Hugo J. Kuijf |
Generalized Probabilistic U-Net for Medical Image Segementation. |
UNSURE@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Dimitri Hamzaoui, Sarah Montagne, Raphaële Renard-Penna, Nicholas Ayache, Hervé Delingette |
MOrphologically-Aware Jaccard-Based ITerative Optimization (MOJITO) for Consensus Segmentation. |
UNSURE@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Hariharan Ravishankar, Rohan Patil, Deepa Anand, Vanika Singhal, Utkarsh Agrawal, Rahul Venkataramani, Prasad Sudhakar |
Stochastic Weight Perturbations Along the Hessian: A Plug-and-Play Method to Compute Uncertainty. |
UNSURE@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Katarína Tóthová, Lubor Ladicky, Daniel Thul, Marc Pollefeys, Ender Konukoglu |
Quantification of Predictive Uncertainty via Inference-Time Sampling. |
UNSURE@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Carole H. Sudre, Christian F. Baumgartner, Adrian V. Dalca, Chen Qin, Ryutaro Tanno, Koen Van Leemput, William M. Wells III (eds.) |
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 4th International Workshop, UNSURE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings |
UNSURE@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Parinaz Roshanzamir, Hassan Rivaz, Joshua Ahn, Hamza Mirza, Neda Naghdi, Meagan Anstruther, Michele C. Battié, Maryse Fortin, Yiming Xiao |
Joint Paraspinal Muscle Segmentation and Inter-rater Labeling Variability Prediction with Multi-task TransUNet. |
UNSURE@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Jacob Carse, Andres Alvarez Olmo, Stephen J. McKenna |
Calibration of Deep Medical Image Classifiers: An Empirical Comparison Using Dermatology and Histopathology Datasets. |
UNSURE@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Martin Van Waerebeke, Gregory A. Lodygensky, Jose Dolz |
On the Pitfalls of Entropy-Based Uncertainty for Multi-class Semi-supervised Segmentation. |
UNSURE@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Prerak Mody, Nicolas F. Chaves-de-Plaza, Klaus Hildebrandt, Marius Staring |
Improving Error Detection in Deep Learning Based Radiotherapy Autocontouring Using Bayesian Uncertainty. |
UNSURE@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Raghav Mehta, Changjian Shui, Brennan Nichyporuk, Tal Arbel |
Information Gain Sampling for Active Learning in Medical Image Classification. |
UNSURE@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Matthew Baugh, Jeremy Tan, Athanasios Vlontzos, Johanna P. Müller, Bernhard Kainz |
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. |
UNSURE@MICCAI |
2022 |
DBLP DOI BibTeX RDF |
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